Anil-matcha/awesome-muse-connectors

What it solves

This project provides a structured way to manage and integrate third-party services with Meta Muse, an AI agent. It helps users move beyond basic prompts by offering a catalog of connector skills and workflow templates that allow Muse to interact with external apps safely and effectively.

How it works

The repository acts as a community-maintained library. It contains 150 connector skills—which define how Muse connects to specific services—and a set of agent workflow templates. Users can browse these to find specific "bot briefs" that define a bot's goal, input sources, and approval boundaries. The project emphasizes a "human-in-the-loop" approach, where users define explicit approval gates for sensitive actions like sending emails, making purchases, or changing permissions.

Who it’s for

This is for users of Meta Muse who want to build specialized, reliable AI agents for tasks like research, inbox management, or project tracking. It is particularly useful for those who want to implement "least-privilege" access, ensuring their AI agent only has the permissions necessary to complete a specific, well-defined job.

Highlights

• Connector Catalog: A collection of 150 community-contributed skills with maturity labels and authentication notes.
• Workflow Templates: 13 pre-built prompt templates for common tasks like competitive monitoring, travel planning, and GitHub release management.
• Safety Principles: A clear framework for defining "approval boundaries" to prevent the AI from performing irreversible or sensitive actions without human consent.
• Pattern-Based Design: Guidance on building bots using repeatable patterns like "Watcher," "Researcher," and "Auditor" to ensure consistent, testable outcomes.